Engineers encounter difficult ethical problems in their practice and in research. In many ways, these problems are like design problems: they are complex, often ill-defined; resolving them involves an iterative process of analysis and synthesis; and there can be more than one acceptable solution. This book offers a real-world, problem-centered approach to engineering ethics, using a rich collection of open-ended scenarios and case studies to develop skill in recognizing and addressing ethical issues.

Proponents of the value ladenness of science rely primarily on arguments from underdetermination or inductive risk, which share the premise that we should only consider values where the evidence runs out or leaves uncertainty; they adopt a criterion of lexical priority of evidence over values. The motivation behind lexical priority is to avoid reaching conclusions on the basis of wishful thinking rather than good evidence. This is a real concern, however, that giving lexical priority to evidential considerations over values is (...) a mistake and unnecessary for avoiding the wishful thinking. Values have a deeper role to play in science. (shrink)

This paper sketches a historical account of interdisciplinarity. A central claim advanced is that the modern array of scientific and humanistic disciplines and interdisciplinarity emerged together; both are moving targets, which must therefore be studied historically in relation to one another as institutionalized practices. A second claim is that of a steadily increasing complexity; new fields emerged on the boundaries of existing disciplines beginning in the late nineteenth century, followed by multi- and transdisciplinary initiatives in the twentieth, and finally transdisciplinary (...) programmatic research in the late twentieth and early twenty-first centuries. The latter two phases in this development have been driven primarily by funding agencies seeking to move the sciences in particular directions deemed socially or politically desirable (in dictatorships as well as democracies), while the existing disciplines remained in place and new ones came into being. Such policy initiatives have transformed both disciplinarity and interdisciplinarity in unanticipated ways. The question whether multi- or transdisciplinary arrangements produce epistemically better science or scholarship appears not to have been raised, let alone examined, by the policy actors driving their creation. (shrink)

This collection of essays explores the metaphysical thesis that the living world is not made up of substantial particles or things, as has often been assumed, but is rather constituted by processes. The biological domain is organised as an interdependent hierarchy of processes, which are stabilised and actively maintained at different timescales. Even entities that intuitively appear to be paradigms of things, such as organisms, are actually better understood as processes. Unlike previous attempts to articulate processual views of biology, which (...) have tended to use Alfred North Whitehead’s panpsychist metaphysics as a foundation, this book takes a naturalistic approach to metaphysics. It submits that the main motivations for replacing an ontology of substances with one of processes are to be found in the empirical findings of science. Biology provides compelling reasons for thinking that the living realm is fundamentally dynamic, and that the existence of things is always conditional on the existence of processes. The phenomenon of life cries out for theories that prioritise processes over things, and it suggests that the central explanandum of biology is not change but rather stability, or more precisely, stability attained through constant change. This edited volume brings together philosophers of science and metaphysicians interested in exploring the consequences of a processual philosophy of biology. The contributors draw on an extremely wide range of biological case studies, and employ a process perspective to cast new light on a number of traditional philosophical problems, such as identity, persistence, and individuality. (shrink)

In the early 1980s, Edward Shils, together with others, undertook the task of defining what he called ‘The Academic Ethic’. It is perhaps best to think of this task in terms defined by Alasdair MacIntyre in many of his writings, in which he observes that the formulation of an ethic typically came at the point where it was no longer a matter of general tacit acceptance but was becoming lost. Shils’s exchanges with his friends and collaborators who commented on the (...) project bear this out: they understood the changes in circumstances that had made the traditional academic ethic obsolete. So did Shils himself. He understood science in terms of what might be called ‘the liberal theory of science’, which treated scientists, and by extension all of academia, as independent agents seeking truth in their own ways, governed by their own sense of what was promising to research, bound together only by a strong tradition of truth-seeking and mutual respect. This, however, required independence of finance – something that the high costs of science rendered prohibitive. The grants system undermined autonomy, and similar issues undermined the autonomy of non-science academics. What is the relevance of traditional academic values today? If the liberal theory of science is dead, what has replaced it? Answering these questions takes us to the heart of problems of the organisation and financing of academic life, the audit culture and the question of truth itself. (shrink)

In this book, one of the world's preeminent philosophers takes issue with an idea that has found an all-too-prominent place in popular culture and philosophical ...

There continues to be a vigorous public debate in our society about the status of climate science. Much of the skepticism voiced in this debate suffers from a lack of understanding of how the science works - in particular the complex interdisciplinary scientific modeling activities such as those which are at the heart of climate science. In this book Eric Winsberg shows clearly and accessibly how philosophy of science can contribute to our understanding of climate science, and how it can (...) also shape climate policy debates and provide a starting point for research. Covering a wide range of topics including the nature of scientific data, modeling, and simulation, his book provides a detailed guide for those willing to look beyond ideological proclamations, and enriches our understanding of how climate science relates to important concepts such as chaos, unpredictability, and the extent of what we know. (shrink)

ArgumentThis article studies the roles three science-based models play in Dutch policy and decision making processes. Key is the interaction between model construction and environment. Their political and scientific environments form contexts that shape the roles of models in policy decision making. Attention is paid to three aspects of the wider context of the models: a) the history of the construction process; b) the political and scientific environments; and c) the use in policy processes over longer periods of time. Models (...) are more successfully used when they are constructed in astablepolitical and scientific environment. Stability and certainty within a scientific field seems to be a key predictor for the usefulness of models for policy making. The economic model is more disputed than the ecology-based model and the model that has its theoretical foundation in physics and chemistry. The roles models play in policy processes are too complex to be considered as straightforward technocratic powers. (shrink)

By the time of his death in 2003, Bernard Williams was one of the greatest philosophers of his generation. Ethics and the Limits of Philosophy is not only widely acknowledged to be his most important book, but also hailed a contemporary classic of moral philosophy. Presenting a sustained critique of moral theory from Kant onwards, Williams reorients ethical theory towards ‘truth, truthfulness and the meaning of an individual life’. He explores and reflects upon the most difficult problems in contemporary philosophy (...) and identifies new ideas about central issues such as relativism, objectivity and the possibility of ethical knowledge. This edition also includes a new commentary on the text by A.W.Moore and a foreword by Jonathan Lear. (shrink)

Traditionally, interdisciplinarity has been taken to require conceptual or theoretical integration. However, in the emerging field of sustainability science this kind of integration is often lacking. Indeed sometimes it is regarded as an obstacle to interdisciplinarity. Drawing on examples from sustainability science, we show that problem-feeding, i.e. the transfer of problems, is a common and fruitful-looking way of connecting disparate disciplines and establishing interdisciplinarity. We identify two species of problem-feeding: unilateral and bilateral. Which of these is at issue depends on (...) whether solutions to the problem are fed back to the discipline in which the problem originated. We suggest that there is an interesting difference between the problem-feeding approach to interdisciplinarity and the traditional integrative perspective suggested by among others Erich Jantsch and his colleagues. The interdisciplinarity resulting from problem-feeding between researchers can be local and temporary and does not require collaboration between proximate disciplines. By contrast, to make good sense of traditional integrative interdisciplinarity we must arguably associate it with a longer-term, global form of close, interdisciplinary collaboration. (shrink)

The concept of Mode 2 was developed in order to further our understanding of processes of knowledge production taking place between and beyond disciplinary structures and “in a context of application”. The concept has often been seen as especially applicable to fields addressing grand challenges, such as cli- mate change, poverty eradication, and global health. Being a relatively new field—interdisciplinary in its approach, and focused on addressing such issues—sustainability science would appear to be a case in point. The aim of (...) this paper is twofold: 1) to explore the perceived relation be- tween Mode 2 and sustainability science, and 2) to advance the discussion of Mode 2 from a philosophical perspective. To address these questions we focus on three characteristic features of Mode 2: the notion of a distinct, but evolving framework; boundary crossing; and a problem solving capacity “on the move”. In particular we discuss the descrip- tive and normative implications of Mode 2 and different understandings of the Mode 2 framework. We report the results of a survey carried out amongst leading sustainability scientists in which they answered questions on Mode 2 and sustainability science. The survey gives insight into both their perception of Mode 2 and their perception of their own field of sustainability science, as well as on the relation between the two. In our analysis, we emphasize the free text answers. These reveal a tension within the field of sustainability science; with developments both to- wards Mode 1 and Mode 2 science as well as towards a more unificationist interpretation. To further complicate the picture, there would also seem to be a tension in the interpretations of Mode 2, and we conclude that the implementation of inter- and transdisciplinarity is challenged by institutional and conceptual factors alike. Even though it is not impossible to achieve; inter- and transdisciplinarity seem to represent a great challenge in itself and the answer as to whether or not inter- and transdisciplinarity is the solution to the grand challenges of today is likely to be more complex than is generally acknowledged. (shrink)

In sustainability research and elsewhere, the notion of resilience is attracting growing interest and causing heated debate. Those focusing on resilience often emphasize its potential to bridge, integrate, and unify disciplines. This article attempts to evaluate these claims. Resilience is investigated as it appears in several fields, including materials science, psychology, ecology, and sustainability science. It is argued that two different concepts of resilience are in play: one local, the other global. The former refers to the ability to return to (...) some reference state after a disturbance, the latter the maintenance of some property during a disturbance. An implication of this analysis is that the various uses of the resilience concept are more closely related than has been previously been suggested. Furthermore, it is argued that there is a preference towards using highly abstract versions of the concept. This explains the apparent context insensitivity of the concept, but presents a problem for those.. (shrink)

This paper investigates practice, frameworks and philosophy in the field of ecological management, a novel integrative approach to closing the gap between ecological and economic theoretical models and ecological and economic behavior. First, I will present the current status in this emerging field and discuss management in relation to various sub-disciplines, including agroecology, circular economy, industrial ecology, and urban sustainability. This provides a basis to analyze the theoretical frameworks found in profitable, ecologically-based businesses and identify key general features that characterize (...) this approach, notably the relationships between: an enterprise’s diversity and its economic resiliency; zero waste policies and societal and environmental impacts; and affordances of the local environment and business’ long-term economic viability. Finally, the philosophical issues looming behind are discussed, notably problems regarding interdisciplinarity and the relation of ethical frameworks with management. Through use of the model-centered philosophy of science to disentangle some of these conceptual problems, I argue that ecological management has a unique place in sustainable development as an independent exploratory tool for constructing and testing economic and ethical models in the Anthropocene. (shrink)

In order to make scientific results relevant to practical decision making, it is often necessary to transfer a result obtained in one set of circumstances—an animal model, a computer simulation, an economic experiment—to another that may differ in relevant respects—for example, to humans, the global climate, or an auction. Such inferences, which we can call extrapolations, are a type of argument by analogy. This essay sketches a new approach to analogical inference that utilizes chain graphs, which resemble directed acyclic graphs (...) (DAGs) except in allowing that nodes may be connected by lines as well as arrows. This chain graph approach generalizes the account of extrapolation I provided in my (2008) book and leads to new insights that integrate the contributions of the other participants of this symposium. More specifically, this approach explicates the role of “fingerprints,” or distinctive markers, as a strategy for avoiding an underdetermination problem having to do with spurious analogies. Moreover, it shows how the extrapolator’s circle, one of the central challenges for extrapolation highlighted in my book, is closely tied to distinctive markers and the Markov condition as it applies to chain graphs. Finally, the approach suggests additional ways in which investigations of a model can provide information about a target that are illustrated by examples concerning nanomaterials in sunscreens and Wendy Parker’s discussion of fingerprints in climate science. (shrink)

In this paper we make a proposal for reforming biomedical research that is aimed to align re-search more closely with the so-called fair-share principle according to which the proportions of global resources as-signed to different diseases should agree with the ratios of human suffering associated with those diseases.

Interdisciplinary research within the field of sustainability studies often faces incompatible ontological assumptions deriving from natural and social sciences. The importance of this fact is often underrated and sometimes leads to the wrong strategies. We distinguish between two broad approaches in interdisciplinarity: unificationism and pluralism. Unificationism seeks unification and perceives disciplinary boundaries as conventional, representing no long-term obstacle to progress, whereas pluralism emphasizes more ephemeral and transient interdisciplinary connections and underscores the autonomy of the disciplines with respect to one another. (...) Both approaches have their merits and pitfalls. Unification runs the risk of scientific imperialism, while pluralism can result in insurmountable barriers between disciplines. We made a comparison of eight distinct interdisciplinary attempts at integration of knowledge across social and natural sciences. The comparison was carried out as four pairwise comparisons: environmental economics versus ecological economics, environmental history versus historical ecology, resilience theory versus political ecology, and socio-biology versus actor-network theory. We conclude by showing that none of these prominent eight interdisciplinary fields in and of itself manages to provide, in a satisfactory way, such an integrated understanding of sustainability. We argue for pluralism and advocate complex ways of articulating divergent ontological assumptions. This is not equivalent to pursuing knowledge unification either through scientific imperialism or by catering to the requirements of narrow practical utility. It means prioritizing interdisciplinary integration by simultaneously acknowledging the role of societal and natural factors in accounting for sustainability issues. (shrink)

Climate change fingerprint studies investigate the causes of recent climate change. I argue that these studies have much in common with Steel’s (2008) streamlined comparative process tracing, illustrating a mechanisms-based approach to extrapolation in which the mechanisms of interest are simulated rather than physically instantiated. I then explain why robustness and variety-of-evidence considerations turn out to be important for understanding the evidential value of climate change fingerprint studies.

The dominant theory of cross-disciplinarity represents multidisciplinarity as ‘lower’ or ‘less interesting’ than interdisciplinarity. In this paper, it is argued that this unfavorable representation of multidisciplinarity is ungrounded because it is an effect of the theory being incomplete. It is also explained that the unfavorable, ungrounded representation of multidisciplinarity is problematic: when someone adopts the dominant theory of cross-disciplinarity, the unfavorable representation supports the development of a preference for interdisciplinarity over multidisciplinarity. However, being ungrounded, the support the representation provides for (...) a preference for interdisciplinarity, is invalid. The issue is even more pressing because research policy makers and funding bodies are among the adopters of the theory, which means that there is a risk of policies reflecting an unjustified preference for interdisciplinarity over multidisciplinarity. This paper presents an improved version of the dominant theory of cross-disciplinarity, obtained by completing the original version with the information it was missing. Because the improved version is more neutral regarding the value of different types of cross-disciplinarity, it is better suited for use by research policy makers and funding bodies. (shrink)

Research on interdisciplinary science has for the most part concentrated on the institutional obstacles that discourage or hamper interdisciplinary work, with the expectation that interdisciplinary interaction can be improved through institutional reform strategies such as through reform of peer review systems. However institutional obstacles are not the only ones that confront interdisciplinary work. The design of policy strategies would benefit from more detailed investigation into the particular cognitive constraints, including the methodological and conceptual barriers, which also confront attempts to work (...) across disciplinary boundaries. Lessons from cognitive science and anthropological studies of labs in sociology of science suggest that scientific practices may be very domain specific, where domain specificity is an essential aspect of science that enables researchers to solve complex problems in a cognitively manageable way. The limit or extent of domain specificity in scientific practice, and how it constrains interdisciplinary research, is not yet fully understood, which attests to an important role for philosophers of science in the study of interdisciplinary science. This paper draws upon two cases of interdisciplinary collaboration; those between ecologists and economists, and those between molecular biologists and systems biologists, to illustrate some of the cognitive barriers which have contributed to failures and difficulties of interactions between these fields. Each exemplify some aspect of domain specificity in scientific practice and show how such specificity may constrain interdisciplinary work. (shrink)

In this paper we take a close look at current interdisciplinary modeling practices in the environmental sciences, and suggest that closer attention needs to be paid to the nature of scientific practices when investigating and planning interdisciplinarity. While interdisciplinarity is often portrayed as a medium of novel and transformative methodological work, current modeling strategies in the environmental sciences are conservative, avoiding methodological conflict, while confining interdisciplinary interactions to a relatively small set of pre-existing modeling frameworks and strategies (a process we (...) call crystallization). We argue that such practices can be rationalized as responses in part to cognitive constraints which restrict interdisciplinary work. We identify four salient integrative modeling strategies in environmental sciences, and argue that this crystallization, while contradicting somewhat the novel goals many have for interdisciplinarity, makes sense when considered in the light of common disciplinary practices and cognitive constraints. These results provide cause to rethink in more concrete methodological terms what interdisciplinarity amounts to, and what kinds of interdisciplinarity are obtainable in the environmental sciences and elsewhere. (shrink)

The experimental approach in economics is a driving force behind some of the most exciting developments in the field. The 'experimental revolution' was based on a series of bold philosophical premises which have remained until now mostly unexplored. This book provides the first comprehensive analysis and critical discussion of the methodology of experimental economics, written by a philosopher of science with expertise in the field. It outlines the fundamental principles of experimental inference in order to investigate their power, scope and (...) limitations. The author demonstrates that experimental economists have a lot to gain by discussing openly the philosophical principles that guide their work, and that philosophers of science have a lot to learn from their ingenious techniques devised by experimenters in order to tackle difficult scientific problems. (shrink)

The paper looks at challenges related to the ideas of integration and knowledge systems in extra-academic transdisciplinarity. Philosophers of science are only starting to pay attention to the increasingly common practice of introducing extra-academic perspectives or engaging extra-academic parties in academic knowledge production. So far the rather scant philosophical discussion on the subject has mainly concentrated on the question whether such engagement is beneficial in science or not. Meanwhile, there is quite a large and growing literature on extra-academic TD, mostly (...) authored by non-philosophers, seeking to develop TD research practices. We examine this literature in the light of recent discussions in pluralist philosophies of science. Some philosophical pluralists see the increase of extra-academic collaboration and participation in science as a potentially positive development. However, certain views promoted in the non-philosophical literature on extra-academic TD appear problematic in the light of the pluralistic discussions. For instance, the literature on TD appears to be overly optimistic with regard to integration, and the notion of knowledge systems used in it is problematic. We believe it would be worthwhile for scientific pluralists sympathetic to the aims of TD to look more closely into the complex settings in which extra-academic collaboration and participation happens in actual TD projects, and to offer constructive criticisms, exploiting insights developed within pluralist philosophy of science. (shrink)

1. A multidisciplinary group of scholars within the International Commission on Stratigraphy – known as the Anthropocene Working Group – recently recommended the Anthropocene as a new geological ep...

In 2016, a multidisciplinary body of scholars within the International Commission on Stratigraphy—the Anthropocene Working Group—recommended that the world officially recognize the Anthropocene as a new geological epoch. The most contested claim about the Anthropocene, that humans are a major geological and environmental force on par with natural forces, has proven to be a hotbed for discussion well beyond the science of geology. One reason for this is that it compels many natural and social scientists to confront problems and systems (...) that transgress traditional disciplinary boundaries, and as a result, calls for interdisciplinary research are now gaining traction. Proponents of such transgressions have dubbed the new scientific order that will result “Anthropocene Science”, and rhetoric notwithstanding, such discussions exemplify how recent changes within science justify rethinking a prevailing image of how science is done, and with it, the working relationship between scholars in the humanities, natural scientists, and social scientists. (shrink)

Computational methods such as computer simulations, Monte Carlo methods, and agent-based modeling have become the dominant techniques in many areas of science. Extending Ourselves contains the first systematic philosophical account of these new methods, and how they require a different approach to scientific method. Paul Humphreys draws a parallel between the ways in which such computational methods have enhanced our abilities to mathematically model the world, and the more familiar ways in which scientific instruments have expanded our access to the (...) empirical world. This expansion forms the basis for a new kind of empiricism, better suited to the needs of science than the older anthropocentric forms of empiricism. Human abilities are no longer the ultimate standard of epistemological correctness.Humphreys also includes arguments for the primacy of properties rather than objects, the need to consider technological constraints when appraising scientific methods, and a detailed account of how the path from computational template to scientific application is constructed. This last feature allows us to hold a form of selective realism in which anti-realist arguments based on formal reconstructions of theories can be avoided. One important consequence of the rise of computational methods is that the traditional organization of the sciences is being replaced by an organization founded on computational templates.Extending Ourselves will be of interest to philosophers of science, epistemologists, and to anyone interested in the role played by computers in modern science. (shrink)

opinionated survey paper to be published in the Blackwell’s Philosophy Compass.

Comparative process tracing is the best analysis of extrapolation inferences in the philosophical and scientific literature so far. In this essay I examine some similarities and differences between comparative process tracing and former attempts to capture the logic of extrapolation, such as the analogical approach. I show that these accounts are not different in spirit, although comparative process tracing supersedes previous proposals in terms of analytical detail. I also examine some qualms about the possibility of drawing extrapolation inferences in the (...) social sciences and conclude by suggesting that there may be cases of extrapolation without process tracing. (shrink)

Recent efforts to argue that nonepistemic values have a legitimate role to play in assessing scientific models, theories, and hypotheses typically either reject the distinction between epistemic and nonepistemic values or incorporate nonepistemic values only as a secondary consideration for resolving epistemic uncertainty. Given that scientific representations can legitimately be evaluated not only based on their fit with the world but also with respect to their fit with the needs of their users, we show in two case studies that nonepistemic (...) values can play a legitimate role as factors that override epistemic considerations in assessing scientific representations for practical purposes. (shrink)

Traditionally, cognitive values have been thought of as a collective pool of considerations in science that frequently trade against each other. I argue here that a finer-grained account of the value of cognitive values can help reduce such tensions. I separate the values into groups, minimal epistemic criteria, pragmatic considerations, and genuine epistemic assurance, based in part on the distinction between values that describe theories per se and values that describe theory-evidence relationships. This allows us to clarify why these values (...) are central to science and what role they should play, while reducing the tensions among them. (shrink)

Scholars in philosophy, law, economics and other fields have widely debated how science, environmental precaution, and economic interests should be balanced in urgent contemporary problems, such as climate change. One controversial focus of these discussions is the precautionary principle, according to which scientific uncertainty should not be a reason for delay in the face of serious threats to the environment or health. While the precautionary principle has been very influential, no generally accepted definition of it exists and critics charge that (...) it is incoherent or hopelessly vague. This book presents and defends an interpretation of the precautionary principle from the perspective of philosophy of science, looking particularly at how it connects to decisions, scientific procedures, and evidence. Through careful analysis of numerous case studies, it shows how this interpretation leads to important insights on scientific uncertainty, intergenerational justice, and the relationship between values and policy-relevant science. (shrink)

Around the globe, economists affect markets by saying what markets are doing, what they should do, and what they will do. Increasingly, experimental economists are even designing real-world markets. But, despite these facts, economists are still largely thought of as scientists who merely observe markets from the outside, like astronomers look at the stars. Do Economists Make Markets? boldly challenges this view. It is the first book dedicated to the controversial question of whether economics is performative--of whether, in some cases, (...) economics actually produces the phenomena it analyzes.The book's case studies--including financial derivatives markets, telecommunications-frequency auctions, and individual transferable quotas in fisheries--give substance to the notion of the performativity of economics in an accessible, nontechnical way. Some chapters defend the notion; others attack it vigorously. The book ends with an extended chapter in which Michel Callon, the idea's main formulator, reflects upon the debate and asks what it means to say economics is performative.The book's insights and strong claims about the ways economics is entangled with the markets it studies should interest--and provoke--economic sociologists, economists, and other social scientists.In addition to the editors and Callon, the contributors include Marie-France Garcia-Parpet, Francesco Guala, Emmanuel Didier, Philip Mirowski, Edward Nik-Khah, Petter Holm, Vincent-Antonin Lépinay, and Timothy Mitchell. (shrink)

Douglas proposes a new ideal in which values serve an essential function throughout scientific inquiry, but where the role values play is constrained at key points, protecting the integrity and objectivity of science.

This book presents the concept of “complementary science” which contributes to scientific knowledge through historical and philosophical investigations. It emphasizes the fact that many simple items of knowledge that we take for granted were actually spectacular achievements obtained only after a great deal of innovative thinking, painstaking experiments, bold conjectures, and serious controversies. Each chapter in the book consists of two parts: a narrative part that states the philosophical puzzle and gives a problem-centred narrative on the historical attempts to solve (...) the puzzle; and the analysis part which provides in-depth analyses of certain scientific, historical, and philosophical aspects of the story. (shrink)

The world is complex, but acknowledging its complexity requires an appreciation for the many roles context plays in shaping natural phenomena. In _Unsimple Truths, _Sandra Mitchell argues that the long-standing scientific and philosophical deference to reductive explanations founded on simple universal laws, linear causal models, and predict-and-act strategies fails to accommodate the kinds of knowledge that many contemporary sciences are providing about the world. She advocates, instead, for a new understanding that represents the rich, variegated, interdependent fabric of many levels (...) and kinds of explanation that are integrated with one another to ground effective prediction and action. Mitchell draws from diverse fields including psychiatry, social insect biology, and studies of climate change to defend “integrative pluralism”—a theory of scientific practices that makes sense of how many natural and social sciences represent the multi-level, multi-component, dynamic structures they study. She explains how we must, in light of the now-acknowledged complexity and contingency of biological and social systems, revise how we conceptualize the world, how we investigate the world, and how we act in the world. Ultimately _Unsimple Truths _argues that the very idea of what should count as legitimate science itself should change. (shrink)

This book offers a philosophy for error-prone humans trying to understand messy systems in the real world.

Inferences like these are known as extrapolations.

Since Thomas Kuhn’s The Structure of Scientific Revolutions (1962), historians and philosophers of science have paid increasing attention to the implications of disciplinarity. In this chapter we consider restrictions posed to interdisciplinary exchange between ecology and economics that result from a particular kind of commitment to the ideal of disciplinary purity, that is, that each discipline is defined by an appropriate, unique set of objects, methods, theories, and aims. We argue that, when it comes to the objects of study in (...) ecology and economics, ideas of disciplinary purity have been underwritten by the artificial-natural distinction. We then problematize this distinction, and thus disciplinary purity, both conceptually and empirically. Conceptually, the distinction is no longer tenable. Empirically, recent interdisciplinary research has shown the epistemological and policy-oriented benefits of dealing with models which explicitly link anthropogenic (i.e., “artificial”) and non-anthropogenic factors (i.e., “natural”). We conclude that, in the current age of the Anthropocene, it is to be expected that without interdisciplinary exchange, ecology and economics may relinquish global relevance because the distinct and separate systems to which each “pure” science was originally made to apply will only diminish over time. (shrink)